Top AI & Machine Learning Jobs

Design, integrate, and operate enterprise physical security systems and AI/ML solutions. Build cloud-native, scalable integrations between ACS, VMS, intrusion and sensor systems and enterprise data. Develop and deploy LLM/RAG-based analytics, MLOps pipelines, edge AI, and intelligent threat detection to improve security operations globally.

Identify enterprise AI opportunities, evaluate emerging models and platforms, build prototypes and proofs-of-concept, quantify business value, and present recommendations to technical and executive stakeholders to drive AI adoption across the company.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

As a Senior Data Scientist, you will develop AI technologies, perform data analysis, build scalable systems, and drive innovation within engineering processes.

Lead product roadmap and delivery for Industrial and Physical AI solutions across construction, facilities, EHS, and manufacturing. Translate business needs into prioritized backlogs, collaborate with engineering and operational stakeholders, manage hybrid Agile/Waterfall delivery, oversee UAT, deployments, training, vendor management, and global adoption of AI/robotics/digital twin initiatives.

Lead data analytics and ML/AI initiatives for DRAM production: data operations, automation, visualization, and decision support. Develop ML/Deep Learning/Code Assist solutions, collaborate cross-functionally, and drive large projects with sub-leadership in semiconductor manufacturing contexts.

The Senior Director will lead AI integration and digital transformation in workforce operations, focusing on enhancing employee experience and leveraging data-driven strategies for workforce management.

Design, build, and ship end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, on-prem/edge deployment, MLOps, monitoring, Responsible AI, and integration with robotics and MES.

Own and prioritize the product backlog for Industrial & Physical AI: translate stakeholder needs into requirements, run hybrid agile/waterfall delivery, partner with engineering, manage vendors, lead UAT/change management and scale pilots across global fab construction and operations.

Own product backlog and roadmap for Industrial & Physical AI; translate stakeholder needs into requirements; run hybrid agile/waterfall delivery; partner with engineering teams; manage vendors; drive UAT, rollout, and KPI reporting across global fab construction and operations.